python /home/admin/mtr/script_for_cron.py -j default -m 20 -a 'python3 ~/workarea/git/Velours/python/prod/datou.py -j batch_current -C 2531171' -s traitement_3459 -M 0 -S 0 -U 100,80,95 import MySQLdb succeeded Import error (python version) ['/Users/moilerat/Documents/Fotonower/install/caffe/distribute/python', '/home/admin/workarea/git/Velours/python/prod', '/home/admin/workarea/install/darknet', '/home/admin/workarea/git/Velours/python', '/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python', '/home/admin/mtr/.credentials', '/home/admin/workarea/install/caffe/python', '/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools', '/home/admin/workarea/git/fotonowerpip', '/home/admin/workarea/install/segment-anything', '/home/admin/workarea/git/pyfvs', '/home/admin/workarea/git/apy', '/usr/lib/python38.zip', '/usr/lib/python3.8', '/usr/lib/python3.8/lib-dynload', '/home/admin/.local/lib/python3.8/site-packages', '/usr/local/lib/python3.8/dist-packages', '/usr/lib/python3/dist-packages'] process id : 3616716 load datou : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : step 0 init_dummy_multi_datou is not linked in the step_by_step architecture ! WARNING : step 1294 init_dummy_multi_datou is not linked in the step_by_step architecture ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! DataTypes for each output/input checked ! Unexpected type for variable list_input_json ERROR or WARNING : can't parse json string Expecting value: line 1 column 1 (char 0) Tried to parse : (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? (photo_id, hashtag_id, score_max) was removed should we ? (x0, y0, x1, y1) was removed should we ? chemin de la photo was removed should we ? load thcls load pdts Running datou job : batch_current TODO datou_current to load to do maybe to take outside batchDatouExec updating current state to 1 list_input_json: [] Current got : datou_id : 3459, datou_cur_ids : ['2531171'] with mtr_portfolio_ids : ['20088399'] and first list_photo_ids : [] new path : /proc/3616716/ Inside batchDatouExec : verbose : 0 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! List Step Type Loaded in datou : mask_detect, crop_condition, thcl, merge_mask_thcl_custom, rle_unique_nms_with_priority, crop_condition, ventilate_hashtags_in_portfolio, final, velours_tree, send_mail_cod, split_time_score over limit max, limiting to limit_max 20 list_input_json : [] origin We have 1 , WARNING: data may be incomplete, need to offset and complete ! BFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFBFwe have missing 0 photos in the step downloads : photo missing : [] try to delete the photos missing in DB length of list_filenames : 20 ; length of list_pids : 20 ; length of list_args : 20 time to download the photos : 3.14372181892395 About to test input to load we should then remove the video here, and this would fix the bug of datou_current ! Calling datou_exec Inside datou_exec : verbose : 0 number of steps : 11 step1:mask_detect Tue Feb 4 11:13:32 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Beginning of datou step mask_detect ! save_polygon : True begin detect begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 9581 max_wait_temp : 1 max_wait : 0 gpu_flag : 0 2025-02-04 11:13:35.442846: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2025-02-04 11:13:35.475357: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 3493065000 Hz 2025-02-04 11:13:35.477419: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x7fdf00000b60 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2025-02-04 11:13:35.477465: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2025-02-04 11:13:35.481832: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2025-02-04 11:13:35.620939: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x2f225e60 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2025-02-04 11:13:35.620994: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 2080 Ti, Compute Capability 7.5 2025-02-04 11:13:35.622156: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-04 11:13:35.622565: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-04 11:13:35.625488: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-04 11:13:35.628518: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-04 11:13:35.629028: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-04 11:13:35.632265: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-04 11:13:35.633335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-04 11:13:35.637665: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-04 11:13:35.638868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-04 11:13:35.638954: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-04 11:13:35.639605: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-04 11:13:35.639622: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-04 11:13:35.639648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-04 11:13:35.640707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5013 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) WARNING:tensorflow:From /home/admin/workarea/git/Velours/python/mtr/mask_rcnn/mask_detection.py:69: The name tf.keras.backend.set_session is deprecated. Please use tf.compat.v1.keras.backend.set_session instead. 2025-02-04 11:13:35.914556: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-04 11:13:35.914670: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-04 11:13:35.914692: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-04 11:13:35.914713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-04 11:13:35.914731: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-04 11:13:35.914750: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-04 11:13:35.914768: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-04 11:13:35.914787: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-04 11:13:35.916175: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-04 11:13:35.917279: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:41:00.0 name: NVIDIA GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2025-02-04 11:13:35.917315: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2025-02-04 11:13:35.917335: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-04 11:13:35.917353: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2025-02-04 11:13:35.917370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2025-02-04 11:13:35.917418: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2025-02-04 11:13:35.917438: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2025-02-04 11:13:35.917456: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2025-02-04 11:13:35.918667: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2025-02-04 11:13:35.918697: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2025-02-04 11:13:35.918707: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2025-02-04 11:13:35.918717: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2025-02-04 11:13:35.920148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5013 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2080 Ti, pci bus id: 0000:41:00.0, compute capability: 7.5) Using TensorFlow backend. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:396: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version. Instructions for updating: box_ind is deprecated, use box_indices instead WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:703: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. WARNING:tensorflow:From /home/admin/workarea/install/Mask_RCNN/model.py:729: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use `tf.cast` instead. Inside mask_sub_process Inside mask_detect About to load cache.load_thcl_param To do loadFromThcl(), then load ParamDescType : thcl2896 thcls : [{'id': 2896, 'mtr_user_id': 31, 'name': 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'photo_desc_type': 5309, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 2896, 'mtr_user_id': 31, 'name': 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'photo_desc_type': 5309, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5309 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5309, 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 16384, 25088, 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 5, 10, 19, 20, 46), datetime.datetime(2021, 5, 10, 19, 20, 46)) {'thcl': {'id': 2896, 'mtr_user_id': 31, 'name': 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'photo_desc_type': 5309, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0'}, 'list_hashtags': ['background', 'carton_brun', 'carton_gris', 'cartonnette', 'kraft', 'autre_refus', 'metal', 'plastique', 'teint_dans_la_masse', 'environnement'], 'list_hashtags_csv': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'svm_hashtag_type_desc': 5309, 'photo_desc_type': 5309, 'pb_hashtag_id_or_classifier': 0} list_class_names : ['background', 'carton_brun', 'carton_gris', 'cartonnette', 'kraft', 'autre_refus', 'metal', 'plastique', 'teint_dans_la_masse', 'environnement'] Configurations: BACKBONE resnet101 BACKBONE_SHAPES [[160 160] [ 80 80] [ 40 40] [ 20 20] [ 10 10]] BACKBONE_STRIDES [4, 8, 16, 32, 64] BATCH_SIZE 1 BBOX_STD_DEV [0.1 0.1 0.2 0.2] DETECTION_MAX_INSTANCES 100 DETECTION_MIN_CONFIDENCE 0.3 DETECTION_NMS_THRESHOLD 0.3 GPU_COUNT 1 IMAGES_PER_GPU 1 IMAGE_MAX_DIM 640 IMAGE_MIN_DIM 640 IMAGE_PADDING True IMAGE_SHAPE [640 640 3] LEARNING_MOMENTUM 0.9 LEARNING_RATE 0.001 LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0} MASK_POOL_SIZE 14 MASK_SHAPE [28, 28] MAX_GT_INSTANCES 100 MEAN_PIXEL [123.7 116.8 103.9] MINI_MASK_SHAPE (56, 56) NAME learn_convoyeur_qualipapia_nantes_poly_100521_1 NUM_CLASSES 10 POOL_SIZE 7 POST_NMS_ROIS_INFERENCE 1000 POST_NMS_ROIS_TRAINING 2000 ROI_POSITIVE_RATIO 0.33 RPN_ANCHOR_RATIOS [0.5, 1, 2] RPN_ANCHOR_SCALES (16, 32, 64, 128, 256) RPN_ANCHOR_STRIDE 1 RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2] RPN_NMS_THRESHOLD 0.7 RPN_TRAIN_ANCHORS_PER_IMAGE 256 STEPS_PER_EPOCH 1000 TRAIN_ROIS_PER_IMAGE 200 USE_MINI_MASK True USE_RPN_ROIS True VALIDATION_STEPS 50 WEIGHT_DECAY 0.0001 model_param file didn't exist model_name : learn_convoyeur_qualipapia_nantes_poly_100521_1 model_type : mask_rcnn list file need : ['mask_model.h5'] file exist in s3 : ['mask_model.h5'] file manque in s3 : [] 2025-02-04 11:13:43.210188: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2025-02-04 11:13:43.389749: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 local folder : /data/models_weight/learn_convoyeur_qualipapia_nantes_poly_100521_1 /data/models_weight/learn_convoyeur_qualipapia_nantes_poly_100521_1/mask_model.h5 size_local : 256031040 size in s3 : 256031040 create time local : 2021-08-09 05:45:48 create time in s3 : 2021-08-06 18:59:51 mask_model.h5 already exist and didn't need to update list_images length : 20 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 1 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 16.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 7.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 2 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 16.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 5 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 4 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 5 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 2 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 10.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 3 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 2 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 5 NEW PHOTO Processing 1 images image shape: (1080, 1920, 3) min: 0.00000 max: 255.00000 molded_images shape: (1, 640, 640, 3) min: -123.70000 max: 151.10000 image_metas shape: (1, 18) min: 0.00000 max: 1920.00000 nb d'objets trouves : 2 Detection mask done ! Trying to reset tf kernel 3617036 begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 5485 tf kernel not reseted sub process len(results) : 20 len(list_Values) 0 None max_time_sub_proc : 3600 parent process len(results) : 20 len(list_Values) 0 process is alive finish correctly or not : True after detect begin to check gpu status inside check gpu memory l 3610 free memory gpu now : 10774 list_Values should be empty [] To do loadFromThcl(), then load ParamDescType : thcl2896 Catched exception ! Connect or reconnect ! thcls : [{'id': 2896, 'mtr_user_id': 31, 'name': 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'photo_desc_type': 5309, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0'}] thcl {'id': 2896, 'mtr_user_id': 31, 'name': 'learn_convoyeur_qualipapia_nantes_poly_100521_1', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'background,carton_brun,carton_gris,cartonnette,kraft,autre_refus,metal,plastique,teint_dans_la_masse,environnement', 'svm_portfolios_learning': '0,0,0,0,0,0,0,0,0,0', 'photo_hashtag_type': 3663, 'photo_desc_type': 5309, 'type_classification': 'mask_rcnn', 'hashtag_id_list': '0,0,0,0,0,0,0,0,0,0'} Update svm_hashtag_type_desc : 5309 ['background', 'carton_brun', 'carton_gris', 'cartonnette', 'kraft', 'autre_refus', 'metal', 'plastique', 'teint_dans_la_masse', 'environnement'] time for calcul the mask position with numpy : 0.018645763397216797 nb_pixel_total : 1396311 time to create 1 rle with new method : 0.035123586654663086 length of segment : 1539 time for calcul the mask position with numpy : 0.007439374923706055 nb_pixel_total : 405097 time to create 1 rle with new method : 0.026786088943481445 length of segment : 1376 time for calcul the mask position with numpy : 0.00030493736267089844 nb_pixel_total : 16139 time to create 1 rle with old method : 0.01840353012084961 length of segment : 121 time for calcul the mask position with numpy : 0.0016210079193115234 nb_pixel_total : 93980 time to create 1 rle with old method : 0.10192489624023438 length of segment : 638 time for calcul the mask position with numpy : 0.0036814212799072266 nb_pixel_total : 331485 time to create 1 rle with new method : 0.008563756942749023 length of segment : 898 time for calcul the mask position with numpy : 9.298324584960938e-05 nb_pixel_total : 2372 time to create 1 rle with old method : 0.0028095245361328125 length of segment : 96 time for calcul the mask position with numpy : 9.083747863769531e-05 nb_pixel_total : 3238 time to create 1 rle with old method : 0.004167079925537109 length of segment : 48 time for calcul the mask position with numpy : 0.007425069808959961 nb_pixel_total : 509982 time to create 1 rle with new method : 0.021970748901367188 length of segment : 1170 time for calcul the mask position with numpy : 0.003475666046142578 nb_pixel_total : 255762 time to create 1 rle with new method : 0.008694171905517578 length of segment : 666 time for calcul the mask position with numpy : 0.013898134231567383 nb_pixel_total : 1123284 time to create 1 rle with new method : 0.030736684799194336 length of segment : 2091 time for calcul the mask position with numpy : 0.007279634475708008 nb_pixel_total : 334278 time to create 1 rle with new method : 0.0116119384765625 length of segment : 1415 time for calcul the mask position with numpy : 0.00528407096862793 nb_pixel_total : 329526 time to create 1 rle with new method : 0.01006937026977539 length of segment : 870 time for calcul the mask position with numpy : 0.012352228164672852 nb_pixel_total : 883203 time to create 1 rle with new method : 0.031662940979003906 length of segment : 1871 time for calcul the mask position with numpy : 0.013573646545410156 nb_pixel_total : 1101518 time to create 1 rle with new method : 0.0320734977722168 length of segment : 1078 time for calcul the mask position with numpy : 0.0010974407196044922 nb_pixel_total : 49948 time to create 1 rle with old method : 0.05600547790527344 length of segment : 271 time for calcul the mask position with numpy : 0.0009188652038574219 nb_pixel_total : 35793 time to create 1 rle with old method : 0.04153561592102051 length of segment : 265 time for calcul the mask position with numpy : 0.00026679039001464844 nb_pixel_total : 5557 time to create 1 rle with old method : 0.006358146667480469 length of segment : 145 time for calcul the mask position with numpy : 0.009285211563110352 nb_pixel_total : 513094 time to create 1 rle with new method : 0.022906064987182617 length of segment : 1356 time for calcul the mask position with numpy : 0.001529693603515625 nb_pixel_total : 90458 time to create 1 rle with old method : 0.09914708137512207 length of segment : 360 time for calcul the mask position with numpy : 0.014589786529541016 nb_pixel_total : 974287 time to create 1 rle with new method : 0.035320281982421875 length of segment : 1295 time for calcul the mask position with numpy : 0.0005483627319335938 nb_pixel_total : 30192 time to create 1 rle with old method : 0.03634834289550781 length of segment : 283 time for calcul the mask position with numpy : 0.0005545616149902344 nb_pixel_total : 15183 time to create 1 rle with old method : 0.024930715560913086 length of segment : 154 time for calcul the mask position with numpy : 0.0017812252044677734 nb_pixel_total : 124602 time to create 1 rle with old method : 0.13495302200317383 length of segment : 473 time for calcul the mask position with numpy : 0.016228437423706055 nb_pixel_total : 1192132 time to create 1 rle with new method : 0.04057192802429199 length of segment : 1960 time for calcul the mask position with numpy : 0.0028257369995117188 nb_pixel_total : 102727 time to create 1 rle with old method : 0.10873842239379883 length of segment : 555 time for calcul the mask position with numpy : 0.004856109619140625 nb_pixel_total : 284824 time to create 1 rle with new method : 0.010858535766601562 length of segment : 1610 time for calcul the mask position with numpy : 0.0004894733428955078 nb_pixel_total : 27776 time to create 1 rle with old method : 0.03117966651916504 length of segment : 191 time for calcul the mask position with numpy : 0.002706766128540039 nb_pixel_total : 130608 time to create 1 rle with old method : 0.142991304397583 length of segment : 585 time for calcul the mask position with numpy : 0.00014710426330566406 nb_pixel_total : 1944 time to create 1 rle with old method : 0.0023365020751953125 length of segment : 61 time for calcul the mask position with numpy : 0.0008993148803710938 nb_pixel_total : 33239 time to create 1 rle with old method : 0.03829789161682129 length of segment : 383 time for calcul the mask position with numpy : 0.0067026615142822266 nb_pixel_total : 422657 time to create 1 rle with new method : 0.016014575958251953 length of segment : 1668 time for calcul the mask position with numpy : 0.00033974647521972656 nb_pixel_total : 14045 time to create 1 rle with old method : 0.0165102481842041 length of segment : 192 time for calcul the mask position with numpy : 0.017247676849365234 nb_pixel_total : 1562033 time to create 1 rle with new method : 0.03568410873413086 length of segment : 1845 time for calcul the mask position with numpy : 0.011409521102905273 nb_pixel_total : 697193 time to create 1 rle with new method : 0.02768087387084961 length of segment : 1417 time for calcul the mask position with numpy : 0.001041412353515625 nb_pixel_total : 36672 time to create 1 rle with old method : 0.040502309799194336 length of segment : 219 time for calcul the mask position with numpy : 0.0060024261474609375 nb_pixel_total : 339197 time to create 1 rle with new method : 0.010843276977539062 length of segment : 965 time for calcul the mask position with numpy : 0.015415668487548828 nb_pixel_total : 1191141 time to create 1 rle with new method : 0.03390812873840332 length of segment : 1436 time for calcul the mask position with numpy : 0.0032351016998291016 nb_pixel_total : 148698 time to create 1 rle with old method : 0.1629505157470703 length of segment : 1119 time for calcul the mask position with numpy : 8.916854858398438e-05 nb_pixel_total : 3460 time to create 1 rle with old method : 0.004071235656738281 length of segment : 58 time for calcul the mask position with numpy : 0.002981901168823242 nb_pixel_total : 206842 time to create 1 rle with new method : 0.005464076995849609 length of segment : 479 time for calcul the mask position with numpy : 0.015389680862426758 nb_pixel_total : 1180852 time to create 1 rle with new method : 0.04021286964416504 length of segment : 1729 time for calcul the mask position with numpy : 0.013561487197875977 nb_pixel_total : 968548 time to create 1 rle with new method : 0.04236865043640137 length of segment : 2022 time for calcul the mask position with numpy : 0.0008914470672607422 nb_pixel_total : 78109 time to create 1 rle with old method : 0.08608245849609375 length of segment : 251 time for calcul the mask position with numpy : 7.343292236328125e-05 nb_pixel_total : 1710 time to create 1 rle with old method : 0.0022211074829101562 length of segment : 50 time for calcul the mask position with numpy : 0.018236637115478516 nb_pixel_total : 1317450 time to create 1 rle with new method : 0.03706550598144531 length of segment : 1289 time for calcul the mask position with numpy : 0.00023555755615234375 nb_pixel_total : 15304 time to create 1 rle with old method : 0.017735004425048828 length of segment : 82 time for calcul the mask position with numpy : 0.00430607795715332 nb_pixel_total : 283435 time to create 1 rle with new method : 0.013249874114990234 length of segment : 852 time for calcul the mask position with numpy : 0.0012264251708984375 nb_pixel_total : 57612 time to create 1 rle with old method : 0.062035560607910156 length of segment : 307 time for calcul the mask position with numpy : 0.00048422813415527344 nb_pixel_total : 22815 time to create 1 rle with old method : 0.025673627853393555 length of segment : 136 time for calcul the mask position with numpy : 0.018127918243408203 nb_pixel_total : 1303978 time to create 1 rle with new method : 0.03604936599731445 length of segment : 948 time for calcul the mask position with numpy : 0.002574920654296875 nb_pixel_total : 124252 time to create 1 rle with old method : 0.1319413185119629 length of segment : 582 time for calcul the mask position with numpy : 0.0019876956939697266 nb_pixel_total : 116370 time to create 1 rle with old method : 0.12866520881652832 length of segment : 346 time for calcul the mask position with numpy : 0.0074388980865478516 nb_pixel_total : 468097 time to create 1 rle with new method : 0.02042365074157715 length of segment : 1115 time for calcul the mask position with numpy : 0.00012087821960449219 nb_pixel_total : 1564 time to create 1 rle with old method : 0.0020728111267089844 length of segment : 39 time for calcul the mask position with numpy : 0.0019295215606689453 nb_pixel_total : 134099 time to create 1 rle with old method : 0.14423584938049316 length of segment : 424 time for calcul the mask position with numpy : 0.013051509857177734 nb_pixel_total : 918065 time to create 1 rle with new method : 0.02862405776977539 length of segment : 1636 time for calcul the mask position with numpy : 0.001486063003540039 nb_pixel_total : 108711 time to create 1 rle with old method : 0.11571359634399414 length of segment : 332 time spent for convertir_results : 9.832833528518677 Inside saveOutput : final : False verbose : 0 eke 12-6-18 : saveMask need to be cleaned for new output ! Number saved : None batch 1 Loaded 57 chid ids of type : 3663 Number RLEs to save : 45362 save missing photos in datou_result : time spend for datou_step_exec : 30.339306354522705 time spend to save output : 2.532024621963501 total time spend for step 1 : 32.871330976486206 step2:crop_condition Tue Feb 4 11:14:05 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure Loading chi in step crop with photo_hashtag_type : 3663 Loading chi in step crop for list_pids : 20 ! batch 1 Loaded 57 chid ids of type : 3663 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ begin to crop the class : teint_dans_la_masse param for this class : {'min_score': 0.7} filtre for class : teint_dans_la_masse hashtag_id of this class : 2107752385 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 4 About to insert : list_path_to_insert length 4 new photo from crops ! we have finished the crop for the class : teint_dans_la_masse begin to crop the class : autre_refus param for this class : {'min_score': 0.5} filtre for class : autre_refus hashtag_id of this class : 2107752406 we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! we have finished the crop for the class : autre_refus begin to crop the class : carton_gris param for this class : {'min_score': 0.5} filtre for class : carton_gris hashtag_id of this class : 2107753020 begin to crop the class : cartonnette param for this class : {'min_score': 0.5} filtre for class : cartonnette hashtag_id of this class : 702398920 we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 5 About to insert : list_path_to_insert length 5 new photo from crops ! we have finished the crop for the class : cartonnette begin to crop the class : carton_brun param for this class : {'min_score': 0.7} filtre for class : carton_brun hashtag_id of this class : 2107753024 begin to crop the class : plastique param for this class : {'min_score': 0.5} filtre for class : plastique hashtag_id of this class : 492725882 we have both polygon and rles Next one ! we have both polygon and rles Next one ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! we have finished the crop for the class : plastique begin to crop the class : kraft param for this class : {'min_score': 0.5} filtre for class : kraft hashtag_id of this class : 493202403 begin to crop the class : metal param for this class : {'min_score': 0.5} filtre for class : metal hashtag_id of this class : 492628673 delete rles for these photos Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 12 /-3653350200Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350204Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350208Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350233Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350223Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350183Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350188Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350211Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350222Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350225Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350218Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /-3653350227Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 56 time used for this insertion : 0.029377222061157227 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.012122392654419 time spend to save output : 0.030370235443115234 total time spend for step 2 : 5.042492628097534 step3:thcl Tue Feb 4 11:14:10 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step Thcl ! nombre de thcls : 2 we are using the classfication for multi_thcl [2456, 2868] time to import caffe and check if the image exist : 0.007393598556518555 time to convert the images to numpy array : 6.9141387939453125e-06 time to import caffe and check if the image exist : 0.007614850997924805 time to convert the images to numpy array : 2.1457672119140625e-06 time to import caffe and check if the image exist : 0.007983922958374023 time to convert the images to numpy array : 4.0531158447265625e-06 time to import caffe and check if the image exist : 0.008548736572265625 time to convert the images to numpy array : 2.86102294921875e-06 time to import caffe and check if the image exist : 0.00830531120300293 time to convert the images to numpy array : 0.00336456298828125 time to import caffe and check if the image exist : 0.007902860641479492 time to convert the images to numpy array : 0.008377552032470703 time to import caffe and check if the image exist : 0.009120464324951172 time to convert the images to numpy array : 0.010684728622436523 time to import caffe and check if the image exist : 0.007421731948852539 time to convert the images to numpy array : 0.014214754104614258 time to import caffe and check if the image exist : 0.008494377136230469 time to convert the images to numpy array : 0.01840043067932129 time to import caffe and check if the image exist : 0.010102510452270508 time to convert the images to numpy array : 0.021573543548583984 total time to convert the images to numpy array : 0.28420233726501465 list photo_ids error: [] list photo_ids correct : [-3653350208, -3653350233, -3653350218, -3653350227, -3653350222, -3653350225, -3653350200, -3653350204, -3653350223, -3653350183, -3653350188, -3653350211] number of photos to traite : 12 try to delete the photos incorrect in DB tagging for thcl : 2456 To do loadFromThcl(), then load ParamDescType : thcl2456 thcls : [{'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'}] thcl {'id': 2456, 'mtr_user_id': 31, 'name': 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'papier,refus', 'svm_portfolios_learning': '3028087,3028251', 'photo_hashtag_type': 3049, 'photo_desc_type': 4999, 'type_classification': 'caffe', 'hashtag_id_list': '492668766,538914404'} Update svm_hashtag_type_desc : 4999 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4999, 'learn_qualipapia_papier_refus_from_vlg_data_aug', 16384, 25088, 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2020, 10, 23, 14, 27, 22), datetime.datetime(2020, 10, 23, 14, 27, 22)) To loadFromThcl() : net_4999 begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10774 max_wait_temp : 1 max_wait : 0 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (4999, 'learn_qualipapia_papier_refus_from_vlg_data_aug', 16384, 25088, 'learn_qualipapia_papier_refus_from_vlg_data_aug', 'res5b', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2020, 10, 23, 14, 27, 22), datetime.datetime(2020, 10, 23, 14, 27, 22)) None mean_file_type : mean_file_path : prototxt_file_path : model : learn_qualipapia_papier_refus_from_vlg_data_aug Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : learn_qualipapia_papier_refus_from_vlg_data_aug model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/caffemodel size_local : 44972172 size in s3 : 44972172 create time local : 2021-08-09 05:55:48 create time in s3 : 2021-08-06 19:28:49 caffemodel already exist and didn't need to update /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/deploy.prototxt size_local : 17311 size in s3 : 17311 create time local : 2021-08-09 05:55:48 create time in s3 : 2021-08-06 19:28:49 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:55:48 create time in s3 : 2021-08-06 19:28:51 mean.npy already exist and didn't need to update /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/synset_words.txt size_local : 57 size in s3 : 57 create time local : 2021-08-09 05:55:48 create time in s3 : 2021-08-06 19:28:49 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/:/home/admin/workarea/git/apy/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/deploy.prototxt caffemodel_filename : /data/models_weight/learn_qualipapia_papier_refus_from_vlg_data_aug/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10555 max_wait_temp : 1 max_wait : 0 dict_keys(['prob']) time used to do the prepocess of the images : 0.14377617835998535 time used to do the prediction : 0.08171963691711426 we don't save the descriptors for this thcl 2456 tagging for thcl : 2868 To do loadFromThcl(), then load ParamDescType : thcl2868 thcls : [{'id': 2868, 'mtr_user_id': 31, 'name': 'learn_papier_nantes_300421', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,environnement,kraft,metal,papier,plastique', 'svm_portfolios_learning': '3752117,3752118,3752123,3752106,3752116,3752124,3752119,3581575,3486029,3752122', 'photo_hashtag_type': 3632, 'photo_desc_type': 5288, 'type_classification': 'caffe', 'hashtag_id_list': '2107753024,2107753020,2107752385,2107752406,702398920,493012381,493202403,492628673,492668766,492725882'}] thcl {'id': 2868, 'mtr_user_id': 31, 'name': 'learn_papier_nantes_300421', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,environnement,kraft,metal,papier,plastique', 'svm_portfolios_learning': '3752117,3752118,3752123,3752106,3752116,3752124,3752119,3581575,3486029,3752122', 'photo_hashtag_type': 3632, 'photo_desc_type': 5288, 'type_classification': 'caffe', 'hashtag_id_list': '2107753024,2107753020,2107752385,2107752406,702398920,493012381,493202403,492628673,492668766,492725882'} Update svm_hashtag_type_desc : 5288 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5288, 'learn_papier_nantes_300421', 512, 512, 'learn_papier_nantes_300421', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 30, 17, 9, 41), datetime.datetime(2021, 4, 30, 17, 9, 41)) To loadFromThcl() : net_5288 begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10553 max_wait_temp : 1 max_wait : 0 FOUND : 1 Here is data_from_sql_as_vec to set the ParamDescriptorType : (5288, 'learn_papier_nantes_300421', 512, 512, 'learn_papier_nantes_300421', 'pool5', 10.0, None, None, 256, None, 0, None, 8, None, None, -1000.0, 1, datetime.datetime(2021, 4, 30, 17, 9, 41), datetime.datetime(2021, 4, 30, 17, 9, 41)) None mean_file_type : mean_file_path : prototxt_file_path : model : learn_papier_nantes_300421 Inside get_net Inside get_net before cache_data_model model_param file didn't exist Inside get_net before CDM.load_model_par_type model_name : learn_papier_nantes_300421 model_type : caffe list file need : ['caffemodel', 'deploy_conv_normal.prototxt', 'deploy_fc.prototxt', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file exist in s3 : ['caffemodel', 'deploy.prototxt', 'mean.npy', 'synset_words.txt'] file manque in s3 : ['deploy_conv_normal.prototxt', 'deploy_fc.prototxt'] local folder : /data/models_weight/learn_papier_nantes_300421 /data/models_weight/learn_papier_nantes_300421/caffemodel size_local : 44791983 size in s3 : 44791983 create time local : 2021-08-09 05:55:59 create time in s3 : 2021-08-06 19:22:13 caffemodel already exist and didn't need to update /data/models_weight/learn_papier_nantes_300421/deploy.prototxt size_local : 17255 size in s3 : 17255 create time local : 2021-08-09 05:55:59 create time in s3 : 2021-08-06 19:22:12 deploy.prototxt already exist and didn't need to update /data/models_weight/learn_papier_nantes_300421/mean.npy size_local : 1572992 size in s3 : 1572992 create time local : 2021-08-09 05:55:59 create time in s3 : 2021-08-06 19:22:14 mean.npy already exist and didn't need to update /data/models_weight/learn_papier_nantes_300421/synset_words.txt size_local : 331 size in s3 : 331 create time local : 2021-08-09 05:56:00 create time in s3 : 2021-08-06 19:22:12 synset_words.txt already exist and didn't need to update Inside get_net after CDM.load_model_par_type After if not only_with_local_cache: /home/admin/workarea/install/darknet/:/home/admin/workarea/git/Velours/python:/home/admin/workarea/install/caffe_frcnn_python3/py-faster-rcnn/caffe-fast-rcnn/python:/home/admin/mtr/.credentials:/home/admin/workarea/install/caffe/python:/home/admin/workarea/install/caffe_frcnn/py-faster-rcnn/tools/:/home/admin/workarea/git/fotonowerpip/:/home/admin/workarea/install/segment-anything:/home/admin//workarea/git/pyfvs/:/home/admin/workarea/git/apy/ Here before set mode gpu Doing nothing but we could set mode gpu after set mode gpu prototxt_filename : /data/models_weight/learn_papier_nantes_300421/deploy.prototxt caffemodel_filename : /data/models_weight/learn_papier_nantes_300421/caffemodel now we set caffe to gpu mode before predict begin to check gpu status inside check gpu memory l 3637 free memory gpu now : 10138 max_wait_temp : 1 max_wait : 0 dict_keys(['prob']) time used to do the prepocess of the images : 0.18925905227661133 time used to do the prediction : 0.06989908218383789 we don't save the descriptors for this thcl 2868 Inside saveOutput : final : False verbose : 0 time used to find the portfolios of the photos test new format of the output of the step_thcl begin to insert list_values into class_photo_scores : length of list_valuse in save_photo_hashtag_id_thcl_score : 0 time used for this insertion : 1.0728836059570312e-05 save missing photos in datou_result : time spend for datou_step_exec : 7.419313669204712 time spend to save output : 0.00037026405334472656 total time spend for step 3 : 7.419683933258057 step4:merge_mask_thcl_custom Tue Feb 4 11:14:18 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 1 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step merge_mask_thcl_custom batch 1 Loaded 57 chid ids of type : 3663 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++As expected we have just one thcl present End of step merge_mask_thcl_custom Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : merge_mask_thcl_custom we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 20 /1333107793Didn't retrieve data .Didn't retrieve data . /1333106712Didn't retrieve data .Didn't retrieve data . /1333106677Didn't retrieve data .Didn't retrieve data . /1333106439Didn't retrieve data .Didn't retrieve data . /1333106420Didn't retrieve data .Didn't retrieve data . /1333106418Didn't retrieve data .Didn't retrieve data . /1333106415Didn't retrieve data .Didn't retrieve data . /1333106413Didn't retrieve data .Didn't retrieve data . /1333106409Didn't retrieve data .Didn't retrieve data . /1333105864Didn't retrieve data .Didn't retrieve data . /1333105717Didn't retrieve data .Didn't retrieve data . /1333105578Didn't retrieve data .Didn't retrieve data . /1333105503Didn't retrieve data .Didn't retrieve data . /1333105501Didn't retrieve data .Didn't retrieve data . /1333105489Didn't retrieve data .Didn't retrieve data . /1333105484Didn't retrieve data .Didn't retrieve data . /1333105481Didn't retrieve data .Didn't retrieve data . /1333105476Didn't retrieve data .Didn't retrieve data . /1333105471Didn't retrieve data .Didn't retrieve data . /1333105447Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 60 time used for this insertion : 0.01473379135131836 save_final save missing photos in datou_result : time spend for datou_step_exec : 0.05390000343322754 time spend to save output : 0.015395402908325195 total time spend for step 4 : 0.06929540634155273 step5:rle_unique_nms_with_priority Tue Feb 4 11:14:18 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure Begin step rle-unique-nms nb_obj : 1 nb_hashtags : 1 time to prepare the origin masks : 0.13485145568847656 time for calcul the mask position with numpy : 0.014037132263183594 nb_pixel_total : 680354 time to create 1 rle with new method : 0.05223393440246582 time for calcul the mask position with numpy : 0.0199429988861084 nb_pixel_total : 1393246 time to create 1 rle with new method : 0.043761491775512695 create new chi : 0.1382312774658203 time to delete rle : 0.020216703414916992 batch 1 Loaded 2 chid ids of type : 3726 Number RLEs to save : 4150 TO DO : save crop sub photo not yet done ! save time : 0.2666912078857422 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.40172600746154785 time for calcul the mask position with numpy : 0.024048566818237305 nb_pixel_total : 1586664 time to create 1 rle with new method : 0.04550647735595703 time for calcul the mask position with numpy : 0.006436824798583984 nb_pixel_total : 66689 time to create 1 rle with old method : 0.07270026206970215 time for calcul the mask position with numpy : 0.006712913513183594 nb_pixel_total : 15998 time to create 1 rle with old method : 0.01811671257019043 time for calcul the mask position with numpy : 0.009107351303100586 nb_pixel_total : 404249 time to create 1 rle with new method : 0.04101109504699707 create new chi : 0.22795462608337402 time to delete rle : 0.0007081031799316406 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5219 TO DO : save crop sub photo not yet done ! save time : 0.3097705841064453 nb_obj : 4 nb_hashtags : 2 time to prepare the origin masks : 0.35301637649536133 time for calcul the mask position with numpy : 0.0199887752532959 nb_pixel_total : 1303094 time to create 1 rle with new method : 0.04239249229431152 time for calcul the mask position with numpy : 0.008691072463989258 nb_pixel_total : 255571 time to create 1 rle with new method : 0.04159903526306152 time for calcul the mask position with numpy : 0.0098114013671875 nb_pixel_total : 509348 time to create 1 rle with new method : 0.029661893844604492 time for calcul the mask position with numpy : 0.006161212921142578 nb_pixel_total : 3217 time to create 1 rle with old method : 0.003773212432861328 time for calcul the mask position with numpy : 0.006220340728759766 nb_pixel_total : 2370 time to create 1 rle with old method : 0.002696990966796875 create new chi : 0.1730360984802246 time to delete rle : 0.0005621910095214844 batch 1 Loaded 5 chid ids of type : 3726 Number RLEs to save : 5066 TO DO : save crop sub photo not yet done ! save time : 0.30518627166748047 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.24104690551757812 time for calcul the mask position with numpy : 0.01469731330871582 nb_pixel_total : 869243 time to create 1 rle with new method : 0.03237104415893555 time for calcul the mask position with numpy : 0.006978034973144531 nb_pixel_total : 53860 time to create 1 rle with old method : 0.08370685577392578 time for calcul the mask position with numpy : 0.01695418357849121 nb_pixel_total : 1150497 time to create 1 rle with new method : 0.04189634323120117 create new chi : 0.20611286163330078 time to delete rle : 0.0005118846893310547 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 6433 TO DO : save crop sub photo not yet done ! save time : 0.3844947814941406 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.1987595558166504 time for calcul the mask position with numpy : 0.015798330307006836 nb_pixel_total : 1000055 time to create 1 rle with new method : 0.0436251163482666 time for calcul the mask position with numpy : 0.012215137481689453 nb_pixel_total : 744362 time to create 1 rle with new method : 0.041182756423950195 time for calcul the mask position with numpy : 0.009238243103027344 nb_pixel_total : 329183 time to create 1 rle with new method : 0.03239011764526367 create new chi : 0.15906071662902832 time to delete rle : 0.0007863044738769531 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 5680 TO DO : save crop sub photo not yet done ! save time : 0.31717586517333984 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.2512354850769043 time for calcul the mask position with numpy : 0.016238689422607422 nb_pixel_total : 941809 time to create 1 rle with new method : 0.04287528991699219 time for calcul the mask position with numpy : 0.006811618804931641 nb_pixel_total : 31268 time to create 1 rle with old method : 0.0355985164642334 time for calcul the mask position with numpy : 0.01815652847290039 nb_pixel_total : 1100523 time to create 1 rle with new method : 0.038355350494384766 create new chi : 0.16491389274597168 time to delete rle : 0.00040721893310546875 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 3608 TO DO : save crop sub photo not yet done ! save time : 0.24481511116027832 nb_obj : 4 nb_hashtags : 1 time to prepare the origin masks : 0.4509146213531494 time for calcul the mask position with numpy : 0.0282440185546875 nb_pixel_total : 1515019 time to create 1 rle with new method : 0.0552523136138916 time for calcul the mask position with numpy : 0.006491899490356445 nb_pixel_total : 4540 time to create 1 rle with old method : 0.005629777908325195 time for calcul the mask position with numpy : 0.010843515396118164 nb_pixel_total : 512734 time to create 1 rle with new method : 0.04040217399597168 time for calcul the mask position with numpy : 0.006990909576416016 nb_pixel_total : 5554 time to create 1 rle with old method : 0.009074926376342773 time for calcul the mask position with numpy : 0.009707450866699219 nb_pixel_total : 35753 time to create 1 rle with old method : 0.05542111396789551 create new chi : 0.23255276679992676 time to delete rle : 0.0006992816925048828 batch 1 Loaded 5 chid ids of type : 3726 Number RLEs to save : 4749 TO DO : save crop sub photo not yet done ! save time : 0.8524703979492188 nb_obj : 4 nb_hashtags : 2 time to prepare the origin masks : 0.41753244400024414 time for calcul the mask position with numpy : 0.013805627822875977 nb_pixel_total : 1038762 time to create 1 rle with new method : 0.03592491149902344 time for calcul the mask position with numpy : 0.006619930267333984 nb_pixel_total : 16381 time to create 1 rle with old method : 0.02319622039794922 time for calcul the mask position with numpy : 0.008358001708984375 nb_pixel_total : 15149 time to create 1 rle with old method : 0.023924589157104492 time for calcul the mask position with numpy : 0.01850104331970215 nb_pixel_total : 973231 time to create 1 rle with new method : 0.05080080032348633 time for calcul the mask position with numpy : 0.008111238479614258 nb_pixel_total : 30077 time to create 1 rle with old method : 0.05127835273742676 create new chi : 0.24872636795043945 time to delete rle : 0.0007672309875488281 batch 1 Loaded 5 chid ids of type : 3726 Number RLEs to save : 4941 TO DO : save crop sub photo not yet done ! save time : 0.30115318298339844 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.5995700359344482 time for calcul the mask position with numpy : 0.011212348937988281 nb_pixel_total : 476439 time to create 1 rle with new method : 0.04579496383666992 time for calcul the mask position with numpy : 0.0066471099853515625 nb_pixel_total : 29942 time to create 1 rle with old method : 0.03440260887145996 time for calcul the mask position with numpy : 0.0072498321533203125 nb_pixel_total : 90571 time to create 1 rle with old method : 0.10704731941223145 time for calcul the mask position with numpy : 0.023941516876220703 nb_pixel_total : 1476648 time to create 1 rle with new method : 0.0379033088684082 create new chi : 0.2807958126068115 time to delete rle : 0.0005867481231689453 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5541 TO DO : save crop sub photo not yet done ! save time : 0.35825610160827637 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.4065418243408203 time for calcul the mask position with numpy : 0.026724576950073242 nb_pixel_total : 1513952 time to create 1 rle with new method : 0.05014443397521973 time for calcul the mask position with numpy : 0.011093854904174805 nb_pixel_total : 427170 time to create 1 rle with new method : 0.04643869400024414 time for calcul the mask position with numpy : 0.007905244827270508 nb_pixel_total : 130545 time to create 1 rle with old method : 0.14319276809692383 time for calcul the mask position with numpy : 0.006334543228149414 nb_pixel_total : 1933 time to create 1 rle with old method : 0.002325773239135742 create new chi : 0.3028450012207031 time to delete rle : 0.0005583763122558594 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5410 TO DO : save crop sub photo not yet done ! save time : 0.3327956199645996 nb_obj : 2 nb_hashtags : 2 time to prepare the origin masks : 0.26455092430114746 time for calcul the mask position with numpy : 0.010056257247924805 nb_pixel_total : 496001 time to create 1 rle with new method : 0.039495229721069336 time for calcul the mask position with numpy : 0.006665229797363281 nb_pixel_total : 9055 time to create 1 rle with old method : 0.010315418243408203 time for calcul the mask position with numpy : 0.017304182052612305 nb_pixel_total : 1568544 time to create 1 rle with new method : 0.029980182647705078 create new chi : 0.1166987419128418 time to delete rle : 0.00043392181396484375 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 4560 TO DO : save crop sub photo not yet done ! save time : 0.29225754737854004 nb_obj : 3 nb_hashtags : 1 time to prepare the origin masks : 0.30180883407592773 time for calcul the mask position with numpy : 0.02765059471130371 nb_pixel_total : 1244446 time to create 1 rle with new method : 0.05667614936828613 time for calcul the mask position with numpy : 0.007135152816772461 nb_pixel_total : 103439 time to create 1 rle with old method : 0.11861276626586914 time for calcul the mask position with numpy : 0.008588075637817383 nb_pixel_total : 30354 time to create 1 rle with old method : 0.033896446228027344 time for calcul the mask position with numpy : 0.01569056510925293 nb_pixel_total : 695361 time to create 1 rle with new method : 0.044853925704956055 create new chi : 0.31900691986083984 time to delete rle : 0.0008852481842041016 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5473 TO DO : save crop sub photo not yet done ! save time : 0.33423590660095215 nb_obj : 3 nb_hashtags : 2 time to prepare the origin masks : 0.28342270851135254 time for calcul the mask position with numpy : 0.014267683029174805 nb_pixel_total : 777247 time to create 1 rle with new method : 0.03681659698486328 time for calcul the mask position with numpy : 0.006097316741943359 nb_pixel_total : 1929 time to create 1 rle with old method : 0.0023398399353027344 time for calcul the mask position with numpy : 0.007179975509643555 nb_pixel_total : 104300 time to create 1 rle with old method : 0.11713910102844238 time for calcul the mask position with numpy : 0.021852970123291016 nb_pixel_total : 1190124 time to create 1 rle with new method : 0.04107856750488281 create new chi : 0.25102877616882324 time to delete rle : 0.0005831718444824219 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5948 TO DO : save crop sub photo not yet done ! save time : 0.4568459987640381 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.26008105278015137 time for calcul the mask position with numpy : 0.01914811134338379 nb_pixel_total : 866989 time to create 1 rle with new method : 0.038025856018066406 time for calcul the mask position with numpy : 0.01594853401184082 nb_pixel_total : 1000149 time to create 1 rle with new method : 0.0316159725189209 time for calcul the mask position with numpy : 0.008116722106933594 nb_pixel_total : 206462 time to create 1 rle with new method : 0.029052257537841797 create new chi : 0.14269018173217773 time to delete rle : 0.0005402565002441406 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 5078 TO DO : save crop sub photo not yet done ! save time : 0.33452677726745605 nb_obj : 3 nb_hashtags : 3 time to prepare the origin masks : 0.22445893287658691 time for calcul the mask position with numpy : 0.015010833740234375 nb_pixel_total : 1032486 time to create 1 rle with new method : 0.04978036880493164 time for calcul the mask position with numpy : 0.010866403579711914 nb_pixel_total : 75563 time to create 1 rle with old method : 0.08255982398986816 time for calcul the mask position with numpy : 0.013918876647949219 nb_pixel_total : 963845 time to create 1 rle with new method : 0.042903900146484375 time for calcul the mask position with numpy : 0.006172895431518555 nb_pixel_total : 1706 time to create 1 rle with old method : 0.0020093917846679688 create new chi : 0.22788119316101074 time to delete rle : 0.0005283355712890625 batch 1 Loaded 4 chid ids of type : 3726 Number RLEs to save : 5549 TO DO : save crop sub photo not yet done ! save time : 0.327547550201416 nb_obj : 2 nb_hashtags : 2 time to prepare the origin masks : 0.17497897148132324 time for calcul the mask position with numpy : 0.01433110237121582 nb_pixel_total : 745309 time to create 1 rle with new method : 0.03753066062927246 time for calcul the mask position with numpy : 0.006512641906738281 nb_pixel_total : 12406 time to create 1 rle with old method : 0.013324737548828125 time for calcul the mask position with numpy : 0.0188143253326416 nb_pixel_total : 1315885 time to create 1 rle with new method : 0.029194116592407227 create new chi : 0.12254095077514648 time to delete rle : 0.00031876564025878906 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 3784 TO DO : save crop sub photo not yet done ! save time : 0.3576018810272217 nb_obj : 2 nb_hashtags : 2 time to prepare the origin masks : 0.18045330047607422 time for calcul the mask position with numpy : 0.022247791290283203 nb_pixel_total : 1712074 time to create 1 rle with new method : 0.03961634635925293 time for calcul the mask position with numpy : 0.006334781646728516 nb_pixel_total : 57541 time to create 1 rle with old method : 0.06195783615112305 time for calcul the mask position with numpy : 0.008095741271972656 nb_pixel_total : 303985 time to create 1 rle with new method : 0.0357205867767334 create new chi : 0.17800450325012207 time to delete rle : 0.00032901763916015625 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 3114 TO DO : save crop sub photo not yet done ! save time : 0.7574489116668701 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.1769702434539795 time for calcul the mask position with numpy : 0.015619993209838867 nb_pixel_total : 747752 time to create 1 rle with new method : 0.049345970153808594 time for calcul the mask position with numpy : 0.017024993896484375 nb_pixel_total : 1303138 time to create 1 rle with new method : 0.04447793960571289 time for calcul the mask position with numpy : 0.006217479705810547 nb_pixel_total : 22710 time to create 1 rle with old method : 0.02471303939819336 create new chi : 0.16677141189575195 time to delete rle : 0.0003998279571533203 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 3242 TO DO : save crop sub photo not yet done ! save time : 0.2691464424133301 nb_obj : 4 nb_hashtags : 2 time to prepare the origin masks : 0.349001407623291 time for calcul the mask position with numpy : 0.022080183029174805 nb_pixel_total : 1452266 time to create 1 rle with new method : 0.045497894287109375 time for calcul the mask position with numpy : 0.008431673049926758 nb_pixel_total : 379386 time to create 1 rle with new method : 0.03702235221862793 time for calcul the mask position with numpy : 0.0061872005462646484 nb_pixel_total : 1561 time to create 1 rle with old method : 0.0018630027770996094 time for calcul the mask position with numpy : 0.006667613983154297 nb_pixel_total : 116196 time to create 1 rle with old method : 0.1269690990447998 time for calcul the mask position with numpy : 0.007248878479003906 nb_pixel_total : 124191 time to create 1 rle with old method : 0.13207650184631348 create new chi : 0.3989725112915039 time to delete rle : 0.000431060791015625 batch 1 Loaded 5 chid ids of type : 3726 Number RLEs to save : 4710 TO DO : save crop sub photo not yet done ! save time : 0.28513598442077637 nb_obj : 2 nb_hashtags : 1 time to prepare the origin masks : 0.2368946075439453 time for calcul the mask position with numpy : 0.019378185272216797 nb_pixel_total : 1124019 time to create 1 rle with new method : 0.034337759017944336 time for calcul the mask position with numpy : 0.006654977798461914 nb_pixel_total : 33214 time to create 1 rle with old method : 0.037212371826171875 time for calcul the mask position with numpy : 0.015862226486206055 nb_pixel_total : 916367 time to create 1 rle with new method : 0.04190969467163086 create new chi : 0.1652693748474121 time to delete rle : 0.0004405975341796875 batch 1 Loaded 3 chid ids of type : 3726 Number RLEs to save : 4936 TO DO : save crop sub photo not yet done ! save time : 0.29834508895874023 map_output_result : {1333107793: (0.0, 'Should be the crop_list due to order', 0.0), 1333106712: (0.0, 'Should be the crop_list due to order', 0.0), 1333106677: (0.0, 'Should be the crop_list due to order', 0.0), 1333106439: (0.0, 'Should be the crop_list due to order', 0.0), 1333106420: (0.0, 'Should be the crop_list due to order', 0.0), 1333106418: (0.0, 'Should be the crop_list due to order', 0.0), 1333106415: (0.0, 'Should be the crop_list due to order', 0.0), 1333106413: (0.0, 'Should be the crop_list due to order', 0.0), 1333106409: (0.0, 'Should be the crop_list due to order', 0.0), 1333105864: (0.0, 'Should be the crop_list due to order', 0.0), 1333105717: (0.0, 'Should be the crop_list due to order', 0.0), 1333105578: (0.0, 'Should be the crop_list due to order', 0.0), 1333105503: (0.0, 'Should be the crop_list due to order', 0.0), 1333105501: (0.0, 'Should be the crop_list due to order', 0.0), 1333105489: (0.0, 'Should be the crop_list due to order', 0.0), 1333105484: (0.0, 'Should be the crop_list due to order', 0.0), 1333105481: (0.0, 'Should be the crop_list due to order', 0.0), 1333105476: (0.0, 'Should be the crop_list due to order', 0.0), 1333105471: (0.0, 'Should be the crop_list due to order', 0.0), 1333105447: (0.0, 'Should be the crop_list due to order', 0.0)} End step rle-unique-nms Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : rle_unique_nms_with_priority we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 20 /1333107793.Didn't retrieve data . /1333106712.Didn't retrieve data . /1333106677.Didn't retrieve data . /1333106439.Didn't retrieve data . /1333106420.Didn't retrieve data . /1333106418.Didn't retrieve data . /1333106415.Didn't retrieve data . /1333106413.Didn't retrieve data . /1333106409.Didn't retrieve data . /1333105864.Didn't retrieve data . /1333105717.Didn't retrieve data . /1333105578.Didn't retrieve data . /1333105503.Didn't retrieve data . /1333105501.Didn't retrieve data . /1333105489.Didn't retrieve data . /1333105484.Didn't retrieve data . /1333105481.Didn't retrieve data . /1333105476.Didn't retrieve data . /1333105471.Didn't retrieve data . /1333105447.Didn't retrieve data . before output type Used above Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 60 time used for this insertion : 0.013450860977172852 save_final save missing photos in datou_result : time spend for datou_step_exec : 18.086039781570435 time spend to save output : 0.014077186584472656 total time spend for step 5 : 18.100116968154907 step6:crop_condition Tue Feb 4 11:14:36 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure some photos are not treated, begin crop_condition Loading chi in step crop with photo_hashtag_type : 3726 Loading chi in step crop for list_pids : 20 ! batch 1 Loaded 73 chid ids of type : 3726 begin to crop the class : teint_dans_la_masse param for this class : {'min_score': 0.7} filtre for class : teint_dans_la_masse hashtag_id of this class : 2107752385 Next one ! Next one ! map_result returned by crop_photo_return_map_crop : length : 2 About to insert : list_path_to_insert length 2 new photo from crops ! About to upload 2 photos upload in portfolio : 4869462 init cache_photo without model_param we have 2 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1738664077_3616716 we have uploaded 2 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.8415884971618652 we have finished the crop for the class : teint_dans_la_masse begin to crop the class : autre_refus param for this class : {'min_score': 0.5} filtre for class : autre_refus hashtag_id of this class : 2107752406 begin to crop the class : carton_gris param for this class : {'min_score': 0.5} filtre for class : carton_gris hashtag_id of this class : 2107753020 begin to crop the class : cartonnette param for this class : {'min_score': 0.5} filtre for class : cartonnette hashtag_id of this class : 702398920 begin to crop the class : carton_brun param for this class : {'min_score': 0.7} filtre for class : carton_brun hashtag_id of this class : 2107753024 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 4869462 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1738664079_3616716 we have uploaded 1 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.5102272033691406 we have finished the crop for the class : carton_brun begin to crop the class : plastique param for this class : {'min_score': 0.5} filtre for class : plastique hashtag_id of this class : 492725882 Next one ! map_result returned by crop_photo_return_map_crop : length : 1 About to insert : list_path_to_insert length 1 new photo from crops ! About to upload 1 photos upload in portfolio : 4869462 init cache_photo without model_param we have 1 photo to upload uploaded to storage server : ovh folder_temporaire : temp/1738664080_3616716 we have uploaded 1 photos in the portfolio 4869462 time of upload the photos Elapsed time : 0.48605799674987793 we have finished the crop for the class : plastique begin to crop the class : kraft param for this class : {'min_score': 0.5} filtre for class : kraft hashtag_id of this class : 493202403 begin to crop the class : metal param for this class : {'min_score': 0.5} filtre for class : metal hashtag_id of this class : 492628673 delete rles for these photos Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : crop_condition we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 4 /1334523327Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1334523328Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1334523345Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . /1334523377Didn't retrieve data .Didn't retrieve data .Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 32 time used for this insertion : 0.6717288494110107 save_final save missing photos in datou_result : time spend for datou_step_exec : 5.026910066604614 time spend to save output : 0.672213077545166 total time spend for step 6 : 5.69912314414978 step7:ventilate_hashtags_in_portfolio Tue Feb 4 11:14:41 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure beginning of datou step ventilate_hashtags_in_portfolio : To implement ! To do loadFromThcl(), then load ParamDescType : thcl2725 thcls : [{'id': 2725, 'mtr_user_id': 31, 'name': 'learn_qualipapia_rle_210302_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,environnement,kraft,metal,papier,plastique', 'svm_portfolios_learning': '3460440,3460441,3460446,3460434,3460439,3467416,3460442,3460443,3486028,3460445', 'photo_hashtag_type': 3410, 'photo_desc_type': 5186, 'type_classification': 'caffe', 'hashtag_id_list': '2107753024,2107753020,2107752385,2107752406,702398920,493012381,493202403,492628673,492668766,492725882'}] thcl {'id': 2725, 'mtr_user_id': 31, 'name': 'learn_qualipapia_rle_210302_2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Carton_brun,Carton_gris,Teint_Dans_La_Masse,autre_refus,cartonnette,environnement,kraft,metal,papier,plastique', 'svm_portfolios_learning': '3460440,3460441,3460446,3460434,3460439,3467416,3460442,3460443,3486028,3460445', 'photo_hashtag_type': 3410, 'photo_desc_type': 5186, 'type_classification': 'caffe', 'hashtag_id_list': '2107753024,2107753020,2107752385,2107752406,702398920,493012381,493202403,492628673,492668766,492725882'} Update svm_hashtag_type_desc : 5186 Iterating over portfolio : 20088399 get user id for portfolio 20088399 SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20088399 AND mptpi.`type`=3726 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('autre_refus','plastique','environnement','Teint_Dans_La_Masse','cartonnette','papier','Carton_brun','metal','mal_croppe','flou','Carton_gris','kraft')) AND mptpi.`min_score`=0.5 To do Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") Catched exception ! Connect or reconnect ! (1064, "You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near ')\n and cspi.crop_hashtag_id = chi.id' at line 3") To do ! Use context local managing function ! SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20088399 AND mptpi.`type`=3726 AND mptpi.`hashtag_id` in (select hashtag_id FROM MTRBack.hashtags where hashtag in ('autre_refus','plastique','environnement','Teint_Dans_La_Masse','cartonnette','papier','Carton_brun','metal','mal_croppe','flou','Carton_gris','kraft')) AND mptpi.`min_score`=0.5 To do lien utilise dans velours : https://www.fotonower.com/velours/20088562,20088563,20088564,20088565,20088566,20088567,20088568,20088569,20088570,20088571,20088572,20088573?tags=Carton_gris,environnement,flou,plastique,Teint_Dans_La_Masse,cartonnette,mal_croppe,metal,autre_refus,kraft,Carton_brun,papier Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : ventilate_hashtags_in_portfolio we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 1 /20088399. before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.7652730941772461 save_final save missing photos in datou_result : time spend for datou_step_exec : 2.817075729370117 time spend to save output : 0.7656137943267822 total time spend for step 7 : 3.5826895236968994 step8:final Tue Feb 4 11:14:45 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 VR 22-3-18 : For now we do not clean correctly the datou structure Beginning of datou step final ! Catched exception ! Connect or reconnect ! Inside saveOutput : final : False verbose : 0 original output for save of step final : {1333107793: ('0.012399550290398065',), 1333106712: ('0.012399550290398065',), 1333106677: ('0.012399550290398065',), 1333106439: ('0.012399550290398065',), 1333106420: ('0.012399550290398065',), 1333106418: ('0.012399550290398065',), 1333106415: ('0.012399550290398065',), 1333106413: ('0.012399550290398065',), 1333106409: ('0.012399550290398065',), 1333105864: ('0.012399550290398065',), 1333105717: ('0.012399550290398065',), 1333105578: ('0.012399550290398065',), 1333105503: ('0.012399550290398065',), 1333105501: ('0.012399550290398065',), 1333105489: ('0.012399550290398065',), 1333105484: ('0.012399550290398065',), 1333105481: ('0.012399550290398065',), 1333105476: ('0.012399550290398065',), 1333105471: ('0.012399550290398065',), 1333105447: ('0.012399550290398065',)} new output for save of step final : {1333107793: ('0.012399550290398065',), 1333106712: ('0.012399550290398065',), 1333106677: ('0.012399550290398065',), 1333106439: ('0.012399550290398065',), 1333106420: ('0.012399550290398065',), 1333106418: ('0.012399550290398065',), 1333106415: ('0.012399550290398065',), 1333106413: ('0.012399550290398065',), 1333106409: ('0.012399550290398065',), 1333105864: ('0.012399550290398065',), 1333105717: ('0.012399550290398065',), 1333105578: ('0.012399550290398065',), 1333105503: ('0.012399550290398065',), 1333105501: ('0.012399550290398065',), 1333105489: ('0.012399550290398065',), 1333105484: ('0.012399550290398065',), 1333105481: ('0.012399550290398065',), 1333105476: ('0.012399550290398065',), 1333105471: ('0.012399550290398065',), 1333105447: ('0.012399550290398065',)} [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 20 /1333107793.Didn't retrieve data . /1333106712.Didn't retrieve data . /1333106677.Didn't retrieve data . /1333106439.Didn't retrieve data . /1333106420.Didn't retrieve data . /1333106418.Didn't retrieve data . /1333106415.Didn't retrieve data . /1333106413.Didn't retrieve data . /1333106409.Didn't retrieve data . /1333105864.Didn't retrieve data . /1333105717.Didn't retrieve data . /1333105578.Didn't retrieve data . /1333105503.Didn't retrieve data . /1333105501.Didn't retrieve data . /1333105489.Didn't retrieve data . /1333105484.Didn't retrieve data . /1333105481.Didn't retrieve data . /1333105476.Didn't retrieve data . /1333105471.Didn't retrieve data . /1333105447.Didn't retrieve data . before output type Used above Used above Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 60 time used for this insertion : 0.014252662658691406 save_final save missing photos in datou_result : time spend for datou_step_exec : 1.6243841648101807 time spend to save output : 0.014786958694458008 total time spend for step 8 : 1.6391711235046387 step9:velours_tree Tue Feb 4 11:14:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 VR 22-3-18 : For now we do not clean correctly the datou structure can't find the photo_desc_type Inside saveOutput : final : False verbose : 0 ouput is None No outpout to save, returning out of save general time spend for datou_step_exec : 0.0308077335357666 time spend to save output : 4.9591064453125e-05 total time spend for step 9 : 0.030857324600219727 step10:send_mail_cod Tue Feb 4 11:14:47 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! complete output_args for input 2 Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 3 We should have FATAL ERROR but same_nb_input_output==True : this should be an optionnal input ! VR 22-3-18 : For now we do not clean correctly the datou structure dans la step send mail cod work_area: /home/admin in order to get the selector url, please entre the license of selector results_Auto_P20088399_04-02-2025_11_14_47.pdf 20088564 imagette200885641738664087 20088565 change filename to text .imagette200885651738664087 20088567 change filename to text .imagette200885671738664087 20088568 imagette200885681738664087 20088569 imagette200885691738664087 20088570 imagette200885701738664087 20088571 imagette200885711738664087 20088562 imagette200885621738664087 20088566 change filename to text .change filename to text .change filename to text .imagette200885661738664087 20088572 change filename to text .imagette200885721738664087 SELECT h.hashtag,pcr.value FROM MTRUser.portfolio_carac_ratio pcr, MTRBack.hashtags h where pcr.portfolio_id=20088399 and hashtag_type = 3726 and pcr.hashtag_id = h.hashtag_id; velour_link : https://www.fotonower.com/velours/20088562,20088563,20088564,20088565,20088566,20088567,20088568,20088569,20088570,20088571,20088572,20088573?tags=Carton_gris,environnement,flou,plastique,Teint_Dans_La_Masse,cartonnette,mal_croppe,metal,autre_refus,kraft,Carton_brun,papier your option no_mail is active, we will not send the real mail to your client args[1333107793] : ('0.012399550290398065',) no score found for photo 1333107793 We are sending mail with results at report@fotonower.com args[1333106712] : ('0.012399550290398065',) no score found for photo 1333106712 We are sending mail with results at report@fotonower.com args[1333106677] : ('0.012399550290398065',) no score found for photo 1333106677 We are sending mail with results at report@fotonower.com args[1333106439] : ('0.012399550290398065',) no score found for photo 1333106439 We are sending mail with results at report@fotonower.com args[1333106420] : ('0.012399550290398065',) no score found for photo 1333106420 We are sending mail with results at report@fotonower.com args[1333106418] : ('0.012399550290398065',) no score found for photo 1333106418 We are sending mail with results at report@fotonower.com args[1333106415] : ('0.012399550290398065',) no score found for photo 1333106415 We are sending mail with results at report@fotonower.com args[1333106413] : ('0.012399550290398065',) no score found for photo 1333106413 We are sending mail with results at report@fotonower.com args[1333106409] : ('0.012399550290398065',) no score found for photo 1333106409 We are sending mail with results at report@fotonower.com args[1333105864] : ('0.012399550290398065',) no score found for photo 1333105864 We are sending mail with results at report@fotonower.com args[1333105717] : ('0.012399550290398065',) no score found for photo 1333105717 We are sending mail with results at report@fotonower.com args[1333105578] : ('0.012399550290398065',) no score found for photo 1333105578 We are sending mail with results at report@fotonower.com args[1333105503] : ('0.012399550290398065',) no score found for photo 1333105503 We are sending mail with results at report@fotonower.com args[1333105501] : ('0.012399550290398065',) no score found for photo 1333105501 We are sending mail with results at report@fotonower.com args[1333105489] : ('0.012399550290398065',) no score found for photo 1333105489 We are sending mail with results at report@fotonower.com args[1333105484] : ('0.012399550290398065',) no score found for photo 1333105484 We are sending mail with results at report@fotonower.com args[1333105481] : ('0.012399550290398065',) no score found for photo 1333105481 We are sending mail with results at report@fotonower.com args[1333105476] : ('0.012399550290398065',) no score found for photo 1333105476 We are sending mail with results at report@fotonower.com args[1333105471] : ('0.012399550290398065',) no score found for photo 1333105471 We are sending mail with results at report@fotonower.com args[1333105447] : ('0.012399550290398065',) no score found for photo 1333105447 We are sending mail with results at report@fotonower.com refus_total : 0.012399550290398065 2022-04-13 10:29:59 0 SELECT ph.photo_id,ph.url,ph.username,ph.uploaded_at,ph.text FROM MTRBack.photos ph, MTRUser.mtr_portfolio_photos mpp WHERE ph.photo_id=mpp.mtr_photo_id AND mpp.mtr_portfolio_id=20088399 AND mpp.hide_status=0 ORDER BY mpp.order LIMIT 0, 1000 SELECT photo_id, url FROM MTRBack.photos ph WHERE photo_id IN (1333103369,1333105578,1333105489,1333105481,1333105426,1333105422,1333105419,1333105415,1333105322,1333105447,1333105503,1333105501,1333105717,1333105864,1333106409,1333106413,1333106415,1333106418,1333106420,1333106439) Found this number of photos: 20 begin to download photo : 1333103369 begin to download photo : 1333105422 begin to download photo : 1333105503 begin to download photo : 1333106413 download finish for photo 1333105503 begin to download photo : 1333105501 download finish for photo 1333106413 begin to download photo : 1333106415 download finish for photo 1333103369 begin to download photo : 1333105578 download finish for photo 1333105422 begin to download photo : 1333105419 download finish for photo 1333105501 begin to download photo : 1333105717 download finish for photo 1333105578 begin to download photo : 1333105489 download finish for photo 1333106415 begin to download photo : 1333106418 download finish for photo 1333105419 begin to download photo : 1333105415 download finish for photo 1333106418 begin to download photo : 1333106420 download finish for photo 1333105717 begin to download photo : 1333105864 download finish for photo 1333105415 begin to download photo : 1333105322 download finish for photo 1333105489 begin to download photo : 1333105481 download finish for photo 1333105864 begin to download photo : 1333106409 download finish for photo 1333105481 begin to download photo : 1333105426 download finish for photo 1333106420 begin to download photo : 1333106439 download finish for photo 1333105322 begin to download photo : 1333105447 download finish for photo 1333106439 download finish for photo 1333105426 download finish for photo 1333105447 download finish for photo 1333106409 start upload file to ovh https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20088399_04-02-2025_11_14_47.pdf results_Auto_P20088399_04-02-2025_11_14_47.pdf uploaded to url https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20088399_04-02-2025_11_14_47.pdf start insert file to database insert into MTRUser.mtr_files (mtd_id,mtr_portfolio_id,text,url,format,tags,file_size,value) values ('3459','20088399','results_Auto_P20088399_04-02-2025_11_14_47.pdf','https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20088399_04-02-2025_11_14_47.pdf','pdf','','0.18','0.012399550290398065') Inside saveOutput : final : False verbose : 0 saveOutput not yet implemented for datou_step.type : send_mail_cod we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 0 before output type Used above Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 20 time used for this insertion : 0.02319645881652832 save_final save missing photos in datou_result : time spend for datou_step_exec : 3.96262788772583 time spend to save output : 0.023528337478637695 total time spend for step 10 : 3.9861562252044678 step11:split_time_score Tue Feb 4 11:14:51 2025 VR 17-11-17 : now, only for linear exec dependencies tree, some output goes to fill the input of the next VR 22-3-18 : now we test the dependencies tree, but keep two separate code for datou_prepare_output_input until the code is correctly tested, clean and works in both case VR 22-3-18 : but we use the first code for the first step id = -1, build in the code of datou_exec VR 22-3-18 : we should manage here the case when we are at the first step instead of building this step before datou_exec Currently we do not manage missing dependencies information, that could maybe be correctly interpreted with default behavior Some of the step done at execution of the step could be done before when the tree of execution is build and the dependencies of different step analysed complete output_args for input 0 We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array We expect there is only one output and this part is used while all output are not tuple or array Inconsistent number of input and output, step which parrallelize and manage error in input by avoiding sending an output for this data can't be used in tree dependencies of input and output complete output_args for input 1 VR 22-3-18 : For now we do not clean correctly the datou structure begin split time score Catched exception ! Connect or reconnect ! TODO : Insert select and so on Begin split_port_in_batch_balle thcls : [{'id': 861, 'mtr_user_id': 31, 'name': 'Rungis_class_dechets_1212', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': 'Rungis_Aluminium,Rungis_Carton,Rungis_Papier,Rungis_Plastique_clair,Rungis_Plastique_dur,Rungis_Plastique_fonce,Rungis_Tapis_vide,Rungis_Tetrapak', 'svm_portfolios_learning': '1160730,571842,571844,571839,571933,571840,571841,572307', 'photo_hashtag_type': 999, 'photo_desc_type': 3963, 'type_classification': 'caffe', 'hashtag_id_list': '2107751280,2107750907,2107750908,2107750909,2107750910,2107750911,2107750912,2107750913'}] thcls : [{'id': 758, 'mtr_user_id': 31, 'name': 'Rungis_amount_dechets_fall_2018_v2', 'pb_hashtag_id': 0, 'live': b'\x00', 'list_hashtags': '05102018_Papier_non_papier_dense,05102018_Papier_non_papier_peu_dense,05102018_Papier_non_papier_presque_vide,05102018_Papier_non_papier_tres_dense,05102018_Papier_non_papier_tres_peu_dense', 'svm_portfolios_learning': '1108385,1108386,1108388,1108384,1108387', 'photo_hashtag_type': 856, 'photo_desc_type': 3853, 'type_classification': 'caffe', 'hashtag_id_list': '2107751013,2107751014,2107751015,2107751016,2107751017'}] (('21', 92),) ERROR counted https://github.com/fotonower/Velours/issues/663#issuecomment-421136223 {} 30012025 20088399 Nombre de photos uploadées : 92 / 23040 (0%) 30012025 20088399 Nombre de photos taguées (types de déchets): 0 / 92 (0%) 30012025 20088399 Nombre de photos taguées (volume) : 0 / 92 (0%) elapsed_time : load_data_split_time_score 2.384185791015625e-06 elapsed_time : order_list_meta_photo_and_scores 7.3909759521484375e-06 ???????????????????????????????????????????????????????????????????????????????????????????? elapsed_time : fill_and_build_computed_from_old_data 0.004029989242553711 elapsed_time : insert_dashboard_record_day_entry 0.022695541381835938 We will return after consolidate but for now we need the day, how to get it, for now depending on the previous heavy steps Qualite : 0.03875924830956473 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20073646_30-01-2025_14_22_06.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20073646 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20073646 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20073158 order by id desc limit 1 Qualite : 0.032095205732650345 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20073159_30-01-2025_13_02_50.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20073159 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20073159 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072921 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072383 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072384 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072385 order by id desc limit 1 Qualite : 0.046647691037909354 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20068238_30-01-2025_09_43_56.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20068238 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20068238 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072386 order by id desc limit 1 Qualite : 0.033926560641630986 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20072387_30-01-2025_12_32_52.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20072387 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20072387 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20071969 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20071970 order by id desc limit 1 Qualite : 0.027665320859549338 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20071972_30-01-2025_12_02_45.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20071972 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20071972 AND mptpi.`type`=3726 To do Qualite : 0.0061049359209256315 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138070_02-02-2025_04_30_52.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138070 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138070 AND mptpi.`type`=3726 To do Qualite : 0.014301945230445801 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138071_02-02-2025_02_40_52.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138071 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138071 AND mptpi.`type`=3726 To do Qualite : 0.017561565375200358 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138072_02-02-2025_03_51_01.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138072 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138072 AND mptpi.`type`=3726 To do Qualite : 0.027302961031116697 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138073_02-02-2025_01_51_05.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138073 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138073 AND mptpi.`type`=3726 To do Qualite : 0.030643068324198868 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138074_02-02-2025_01_00_53.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138074 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138074 AND mptpi.`type`=3726 To do Qualite : 0.02387720144099549 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138075_01-02-2025_23_40_33.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138075 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138075 AND mptpi.`type`=3726 To do Qualite : 0.034037250830284284 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138076_01-02-2025_20_51_18.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138076 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138076 AND mptpi.`type`=3726 To do Qualite : 0.01574846168747699 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138077_01-02-2025_22_20_36.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138077 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138077 AND mptpi.`type`=3726 To do Qualite : 0.03791186739045397 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20138078_01-02-2025_20_00_45.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20138078 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20138078 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105154 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105155 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105156 order by id desc limit 1 Qualite : 0.030667975954369344 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20081910_30-01-2025_19_24_39.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20081910 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20081910 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105157 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105158 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105159 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105160 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105161 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105162 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105163 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105164 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105165 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105166 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105167 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105168 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105193 order by id desc limit 1 Qualite : 0.013426174135866055 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20088595_30-01-2025_23_11_28.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20088595 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20088595 AND mptpi.`type`=3726 To do Qualite : 0.011734877380199571 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20088399_04-02-2025_11_14_47.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20088399 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20088399 AND mptpi.`type`=3726 To do find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105211 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105212 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105213 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105214 order by id desc limit 1 find url: select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105215 order by id desc limit 1 Qualite : 0.024457677482647447 find url: https://storage.sbg.cloud.ovh.net/v1/AUTH_3b171620e76e4af496c5fd050759c9f0/media.fotonower.com/results_Auto_P20105216_31-01-2025_09_03_31.pdf select completion_json, dashboard_run_id from MTRPhoto.dashboard_results where mtr_portfolio_id = 20105216 order by id desc limit 1 # VR 17-11-17 : to create in DB ! Here we check the datou graph and we reorder steps ! Tree builded and cycle checked, now we need to re-order the steps ! We have currenlty an error because there is no dependence between the last step for the case tile - detect - glue We can either keep the depence of, it is better to keep an order compatible with the id of steps if we do not have sons, so a lexical order : (number_son, step_id) All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! All sons are already in current list ! DONE and to test : checkNoCycle ! Here we check the consistency of inputs/outputs number between the given ones and the db ! eke 1-6-18 : checkConsistencyNbInputNbOutput should be processed after step reordering ! WARNING : number of outputs for step 11449 mask_detect is not consistent : 3 used against 2 in the step definition ! Step 11452 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! Step 11452 crop_condition have less outputs used (2) than in the step definition (3) : some outputs may be not used ! Step 11453 merge_mask_thcl_custom have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11453 merge_mask_thcl_custom is not consistent : 4 used against 2 in the step definition ! WARNING : number of inputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11454 rle_unique_nms_with_priority is not consistent : 2 used against 1 in the step definition ! Step 11478 crop_condition have less inputs used (1) than in the step definition (2) : maybe we manage optionnal inputs ! WARNING : number of outputs for step 11478 crop_condition is not consistent : 4 used against 3 in the step definition ! WARNING : number of inputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! WARNING : number of outputs for step 11456 ventilate_hashtags_in_portfolio is not consistent : 2 used against 1 in the step definition ! Step 11455 final have less inputs used (2) than in the step definition (3) : maybe we manage optionnal inputs ! Step 11455 final have less outputs used (1) than in the step definition (2) : some outputs may be not used ! Step 11458 send_mail_cod have less inputs used (3) than in the step definition (5) : maybe we manage optionnal inputs ! Number of inputs / outputs for each step checked ! Here we check the consistency of outputs/inputs types during steps connections eke 1-6-18 : checkConsistencyTypeOutputInput should be processed after checkConsistencyNbInputNbOutput ! WARNING : type of output 2 of step 11449 doesn't seem to be define in the database( WARNING : type of input 2 of step 11452 doesn't seem to be define in the database( WARNING : output 1 of step 11449 have datatype=2 whereas input 1 of step 11453 have datatype=7 WARNING : type of output 2 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11454 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : type of output 3 of step 11453 doesn't seem to be define in the database( WARNING : type of input 1 of step 11456 doesn't seem to be define in the database( WARNING : type of output 1 of step 11456 doesn't seem to be define in the database( WARNING : type of input 3 of step 11455 doesn't seem to be define in the database( We ignore checkConsistencyTypeOutputInput for datou_step final ! We ignore checkConsistencyTypeOutputInput for datou_step final ! WARNING : output 0 of step 11456 have datatype=10 whereas input 3 of step 11458 have datatype=6 WARNING : type of input 5 of step 11458 doesn't seem to be define in the database( WARNING : output 0 of step 11477 have datatype=11 whereas input 5 of step 11458 have datatype=None WARNING : output 0 of step 11456 have datatype=10 whereas input 0 of step 11477 have datatype=18 WARNING : type of input 2 of step 11478 doesn't seem to be define in the database( WARNING : output 1 of step 11454 have datatype=7 whereas input 2 of step 11478 have datatype=None WARNING : type of output 3 of step 11478 doesn't seem to be define in the database( WARNING : type of input 2 of step 11456 doesn't seem to be define in the database( WARNING : output 0 of step 11453 have datatype=1 whereas input 0 of step 11454 have datatype=2 DataTypes for each output/input checked ! TODO Duplicate data, are they consistent 3 ? Duplicate data, are they consistent 4 ? SELECT mptpi.id, mptpi.mtr_portfolio_id_1, mptpi.mtr_portfolio_id_2, mptpi.type, mptpi.hashtag_id, mptpi.min_score, mptpi.mtr_user_id, mptpi.created_at, mptpi.updated_at, mptpi.last_updated_at_desc, mptpi.last_updated_at_asc, h.hashtag FROM MTRPhoto.mtr_port_to_port_ids mptpi, MTRBack.hashtags h WHERE h.hashtag_id=mptpi.hashtag_id AND mptpi.`mtr_portfolio_id_1`=20105216 AND mptpi.`type`=3726 To do NUMBER BATCH : 0 # DISPLAY ALL COLLECTED DATA : {'30012025': {'nb_upload': 92, 'nb_taggue_class': 0, 'nb_taggue_densite': 0}} Inside saveOutput : final : True verbose : 0 saveOutput not yet implemented for datou_step.type : split_time_score we use saveGeneral [1333107793, 1333106712, 1333106677, 1333106439, 1333106420, 1333106418, 1333106415, 1333106413, 1333106409, 1333105864, 1333105717, 1333105578, 1333105503, 1333105501, 1333105489, 1333105484, 1333105481, 1333105476, 1333105471, 1333105447] Looping around the photos to save general results len do output : 1 /20088399Didn't retrieve data . before output type Here is an output not treated by saveGeneral : Managing all output in save final without adding information in the mtr_datou_result ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333107793', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106712', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106677', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106439', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106420', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106418', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106415', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106413', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333106409', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105864', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105717', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105578', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105503', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105501', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105489', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105484', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105481', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105476', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105471', None, None, None, None, None, '2531171') ('3459', None, None, None, None, None, None, None, '2531171') ('3459', None, '1333105447', None, None, None, None, None, '2531171') begin to insert list_values into mtr_datou_result : length of list_values in save_final : 21 time used for this insertion : 0.02942657470703125 save_final save missing photos in datou_result : time spend for datou_step_exec : 31.638925790786743 time spend to save output : 0.029689550399780273 total time spend for step 11 : 31.668615341186523 caffe_path_current : About to save ! 2 After save, about to update current ! update_current_state 46.60user 20.51system 1:57.65elapsed 57%CPU (0avgtext+0avgdata 2906184maxresident)k 408inputs+27048outputs (0major+1857349minor)pagefaults 0swaps